Please use this identifier to cite or link to this item: https://doi.org/10.1145/1329125.1329387
Title: Graphical models for online solutions to interactive POMDPs
Authors: Doshi, P.
Zeng, Y.
Chen, Q. 
Keywords: Agent modeling
Decision-making
Dynamic influence diagrams
Issue Date: 2007
Source: Doshi, P.,Zeng, Y.,Chen, Q. (2007). Graphical models for online solutions to interactive POMDPs. Proceedings of the International Conference on Autonomous Agents : 814-821. ScholarBank@NUS Repository. https://doi.org/10.1145/1329125.1329387
Abstract: We develop a new graphical representation for interactive partially observable Markov decision processes (I-POMDPs) that is significantly more transparent and semantically clear than the previous representation. These graphical models called interactive dynamic influence diagrams (I-DIDs) seek to explicitly model the structure that is often present in real-world problems by decomposing the situation into chance and decision variables, and the dependencies between the variables. I-DIDs generalize DIDs, which may be viewed as graphical representations of POMDPs, to multiagent settings in the same way that I-POMDPs generalize POMDPs. I-DIDs may be used to compute the policy of an agent online as the agent acts and observes in a setting that is populated by other interacting agents. Using several examples, we show how I-DIDs may be applied and demonstrate their usefulness. © 2007 IFAAMAS.
Source Title: Proceedings of the International Conference on Autonomous Agents
URI: http://scholarbank.nus.edu.sg/handle/10635/40688
ISBN: 9788190426275
DOI: 10.1145/1329125.1329387
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